An Interdisciplinary Program for Advanced Training in Health Data Analytics

健康数据分析高级培训的跨学科计划

• 批准号: 9264199
• 负责人: Javed Mostafa
• 金额: $ 56.73万
• 依托单位: UNIV OF NORTH CAROLINA CHAPEL HILL
• 依托单位国家: 美国
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-07-01 至 2022-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9264199
• 关键词: Address; Area; Arts; Big Data; Biological Products; Biometry; Caring; Clinical Data; Custom; Data Analytics; Data Science; Decision Making; Evaluation; Foundations; Gills; Healthcare; Information Sciences; Information Systems; Laboratories; Learning; Library Science; Machine Learning; Methods; Outcome; Pharmacy Schools; Plant Roots; Population; Public Health; Public Health Informatics; Research Methodology; Research Training; Resources; School Dentistry; School Nursing; Schools; Science; System; Systems Development; Techniques; Training; Training Programs; Visual; base; biomedical informatics; college; computer science; data management; faculty research; health care service organization; health data; imaging informatics; medical schools; operation; population health; post-doctoral training; pre-doctoral; precision medicine; programs

The proposed training program adds predoctoral and postdoctoral training to the Carolina Health Informatics Program (CHIP), which concentrates on both advancing research and training in biomedical and health informatics. CHIP is a truly interdisciplinary program co- created and co-sponsored by 1) School of Medicine, 2) Gillings School of Global Public Health, 3) School of Nursing, 4) Eshelman School of Pharmacy, 5) School of Dentistry, 6) School of Information & Library Science, and 7) Computer Science Department of the College of Arts & Sciences. The program is further strengthened by close partnerships with area health care organizations and companies specializing in biopharmaceuticals, heath care, IT and analytics. Recognizing the many challenges associated with health data analytics and use, the three foundational aspects of the CHIP training programs are: 1) Methods for health data analytics, 2) Building powerful interactive analytics systems that allow customization and support decision making for a wide variety of health care operations, and 3) Addressing translational challenges in implementing and managing information systems that leverage health data analytics effectively. Given that CHIP is a highly interdisciplinary program, it will draw upon its diverse faculty, research centers, laboratories, and other rich resources to develop three major types of activities as part of the proposed advanced predoctoral and postdoctoral training program. The three activities are: 1) Research methods and analytics techniques for clinical data science, imaging informatics, precision medicine, and big data analytics for population health, 2) Didactic learning based on courses in machine learning, biostatistics, big data management, and visual analytics and additional courses that are rooted in realistic health care problems, and 3) Large- scale, population-oriented system development, deployment, and outcome evaluation.

拟议的培训计划在卡罗莱纳州增加了博士前和博士后培训 健康信息学计划 (CHIP)，专注于推进研究和 生物医学和健康信息学培训。 CHIP 是一个真正的跨学科项目 由 1) 医学院、2) 吉林斯全球公共卫生学院创建和共同赞助 3) 护理学院，4) 埃谢尔曼药学院，5) 牙科学院，6) 牙科学院 信息与图书馆学，以及 7) 艺术与学院计算机科学系 科学。通过与地区卫生保健机构的密切合作，该计划得到进一步加强 专门从事生物制药、医疗保健、IT 和分析的组织和公司。 认识到与健康数据分析和使用相关的许多挑战，这三个 CHIP 培训计划的基本方面是：1) 健康数据分析方法，2) 构建强大的交互式分析系统，允许定制和支持决策 促进各种医疗保健业务，以及 3) 解决转化挑战 实施和管理利用健康数据分析的信息系统 有效地。鉴于 CHIP 是一个高度跨学科的项目，它将利用其多样性 师资队伍、研究中心、实验室等丰富资源开发三大类 作为拟议的高级博士前和博士后培训计划的一部分的活动。这 三项活动是：1）临床数据科学的研究方法和分析技术， 影像信息学、精准医学和人口健康大数据分析，2) 教学 基于机器学习、生物统计学、大数据管理和视觉等课程的学习 植根于现实医疗保健问题的分析和其他课程，以及 3）大型- 规模、面向人群的系统开发、部署和结果评估。